Integration of local and global features for anatomical object detection in ultrasound.

Conference item

The use of classifier-based object detection has found to be a promising approach in medical anatomy detection. In ultrasound images, the detection task is very challenging due to speckle, shadows and low contrast characteristic features. Typical detection algorithms that use purely intensity-based image features with an exhaustive scan of the image (sliding window approach) tend not to perform very well and incur a very high computational cost. The proposed approach in this paper achieves a ...

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Authors: Rahmatullah, B; Papageorghiou, A; Noble, J

• Host title: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
• Volume: 15
• Issue: Pt 3
• Pages: 402-409
• Publication date: 2012-01-01
• Event location: Germany
• Keywords: Humans; Algorithms; Sensitivity and Specificity; Pattern Recognition, Automated; Reproducibility of Results; Systems Integration; Ultrasonography, Prenatal; Image Enhancement; Abdomen; Image Interpretation, Computer-Assisted